Gallbladder Shape Estimation Using Tree-Seed Optimization Tuned Radial Basis Function Network for Assessment of Acute Cholecystitis-Reference-Cited by-同舟云学术

Gallbladder Shape Estimation Using Tree-Seed Optimization Tuned Radial Basis Function Network for Assessment of Acute Cholecystitis

Published:2018 Issue: Volume: Page:229-239
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Muneeswaran V.,Pallikonda Rajasekaran M.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7566-7_24

Reference18 articles.

1. Abolmaesumi, P., Sirouspour, M.R.: An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images. IEEE Trans. Med. Imaging 23(6), 772–784 (2004)

2. Ayala, H.V.H., Coelho, L.: Multiobjective Cuckoo Search Applied to Radial Basis Function Neural Networks Training for System Identification. IFAC Proc. 47(3), 2539–2544 (2014)

3. Chang, W.Y.: An RBF neural network combined with OLS algorithm and genetic algorithm for short-term wind power forecasting. J. Appl. Math., 9 (2013). 10.1155/2013/971389 . Article ID 971389

4. Chu, A., Sehgal, C.M., Greenleaf, J.F.: Use of gray value distribution of run lengths for texture analysis. Pattern Recogn. Lett. 11(6), 415–419 (1990)

5. Ciecholewski, M.: Gallbladder boundary segmentation from ultrasound images using active contour model. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds.) Intelligent Data Engineering and Automated Learning IDEAL 2010. IDEAL 2010. LNCS, vol. 6283 , pp. 63–69. Springer, Berlin, Heidelberg (2010)

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spam Email Assessment Using Machine Learning and Data Mining Approach;2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT);2022-07

2. Weiszfeld, tree-seed, and whale optimization algorithms comparison via locating transportation facilities with weightings considering the vulnerability and uncertainty;PLOS ONE;2022-06-14

3. Performance Enhancement of Animal Species Classification Using Deep Learning;Communications in Computer and Information Science;2022

4. A Framework for Analyzing Crime Dataset in R Using Unsupervised Optimized K-means Clustering Technique;Lecture Notes on Data Engineering and Communications Technologies;2022

5. Sentiment Analysis on Diabetes Diagnosis Health Care Using Machine Learning Technique;Lecture Notes on Data Engineering and Communications Technologies;2022